Data infrastructure
Engineering professionals in Data infrastructure
Data infrastructure engineers make concrete choices about how data moves through systems, what gets stored where, and how failures get handled. Talk with people who've built or run these systems to understand which technical decisions actually drive your costs, uptime, and ability to ship features.
Professionals to explore
01—10Aniket Mokashi
LinkedInExperience: Senior Engineering Manager - BigQuery Runtime (Dremel) · google
Experience leading engineering teams building data platform infrastructure including BigQuery runtime, Cloud Dataproc, and distributed data processing systems.
Avinash Bhat
LinkedInExperience: Head of Data Infrastructure · Stripe
Has experience leading a group responsible for data infrastructure spanning data streaming, big data processing, data lake, and analytics infrastructure technologies.
Indrajit Roy
LinkedInExperience: Director of Engineering · Databricks
Experience leading an engineering team building data streaming and incremental processing systems supporting analytics and near real-time data workloads.
Julian Pan
LinkedInExperience: Director of Growth Data Engineering · Netflix
Has experience managing and defining strategic direction for a data engineering organization, driving data platform and streaming infrastructure work using Kafka, Flink, and Snowflake.
Kasturi Chatterjee
LinkedInExperience: Senior Leadership, Data Movement & Processing Platform · Netflix
Has experience leading a data platform organization responsible for stream data processing and movement infrastructure, working with Kafka, Flink, and Mantis technologies.
Mark Sun
LinkedInExperience: Director of Data Engineering · Databricks
Experience leading a data engineering team covering data platform architecture, data lake, and real-time data processing systems.
Rambabu Bandam
LinkedInExperience: Director Of Data Engineering · Nike
Experience leading engineering teams delivering big data analytics solutions and architecting data lake platforms using Databricks, Spark, and Kafka.
Samarth Shetty
LinkedInExperience: Director Of Engineering · Databricks
Has experience leading engineering teams building data governance, sharing, stream processing, and data pipeline platforms at a data infrastructure company.
Suhail Memon
LinkedInExperience: Senior Director Data Engineering Platforms · Overstock
Has experience managing enterprise data warehouse database administration and data engineering platforms, focusing on uptime and cost efficiency of data platforms.
Sumitha Poornachandran
LinkedInExperience: Director of Engineering, Data Engineering Infrastructure · Cloudera
Has experience directing data engineering infrastructure products, including Spark and Airflow, and previously managed a large-scale DataLake organization at LinkedIn.
Choose the right perspective
Look for candidates who have owned specific infrastructure choices—not just implemented them. Ask what they decided to build versus buy, how they sized systems for growth, and what broke when their assumptions were wrong. Their answers should include real numbers and actual consequences.
Questions to take into the conversation
- 01When you chose your data pipeline architecture, what made you rule out the other options you considered?
- 02Tell me about a time your infrastructure choice created unexpected operating costs. What would you do differently?
- 03Which technical constraint forced you to redesign how data flows through your system, and what did you learn?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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